Ready to learn more?

Next Cohort: Sep 8-Mar 8

By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.

Duration

6 months

Tuition

$19,038

 

Sep 8-Mar 8

Commitment

Part-Time

Delivery

Online

Credential

Diploma

Year Founded

2009

Scholarships

yes

Springboard’s Data Science Bootcamp is an immersive, six-month program designed to equip learners with the core skills, tools, and methodologies used by professional data scientists. Built in collaboration with industry partners, including DataCamp, the curriculum focuses on what employers are actively seeking, combining video instruction, expert-led content, and hands-on projects. Participants learn the full Data Science Method, from problem identification and data wrangling to analysis, modeling, and documentation, while gaining proficiency in essential languages and tools such as Python, SQL, R, pandas, GitHub, and Spark.

The program places a strong emphasis on applied learning and real-world impact, with units covering machine learning, data storytelling, and multiple capstone projects. Learners also explore how artificial intelligence enhances data science workflows by uncovering patterns, generating insights, and supporting better business decisions. Alongside technical training, the bootcamp addresses the ethical use of AI, including fairness, transparency, and privacy, preparing graduates to become effective, responsible, and highly valuable contributors in data-driven organizations.

Admission Requirements

  • 6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++).
  • Familiarity with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms.

What You’ll Learn 

  • Apply the six-step Data Science Method to real-world problems.
  • Clean, wrangle, and analyze complex datasets.
  • Build and evaluate models using machine learning techniques.
  • Use Python, SQL, R, and industry-standard data science tools.
  • Leverage AI to uncover patterns and generate actionable insights.
  • Communicate findings through clear data storytelling and capstone projects.

Share

Facebook LinkedIn Twitter email

Ready to get started?

Next Cohort: Sep 8-Mar 8

By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.

Student Reviews (23)

Write a Review

Springboard

Great curriculum with supportive online community

Lydia Ngai 

December 15, 2021

Graduated From

Software Engineering Career Track

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

Pros:
- virtual - it's flexible and won't cost an arm and a leg to complete. The virtual platform also allows you to connect with people all over the country and all over the world and allows you to choose your hours, so you don't have to quit yo...

Pros:
- virtual - it's flexible and won't cost an arm and a leg to complete. The virtual platform also allows you to connect with people all over the country and all over the world and allows you to choose your hours, so you don't have to quit your day job (but you always can if you want to!)
- career services available throughout the course, not just at the end when you've finished everything. There are actionable career- related projects to work on alongside coding projects and homework
- TAs are available online via chat and email, it helps with going through a virtual course so you don't get stuck forever
- I personally really enjoyed the curriculum. The videos explained concepts well and the assignments, while challenging, would implement recently learned concepts. Video lectures are also pretty short and it's nice to be able to watch a concept get broken down into 10 5-minute videos vs. 1-2 20-30-minute videos. I appreciated that a lot of the homework built off of existing infrastructure (e.g. if you're doing a back-end assignment, front-end files would be ready to import). There were plenty of handouts summarizing concepts as well.
- mock interviews are conducted throughout and at the end of the course with other mentors/industry professionals. It's great to get critical feedback from others in the industry.
- job support post-course-completion includes career coach calls to keep you on task and improving.

Cons:
- virtual. No classroom so you better be motivated or find ways to keep going.
- there could be more curriculum coverage on Data Structures & Algorithms, but the curriculum does have a good basic introduction to those. It's something I'll continue to study

Springboard

Great Curriculum and Support

Tristan Trosvig

December 15, 2021

Graduated From

Software Engineering Career Track

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

I was genuinely pleased with my online experience in Springboard's Software Engineering Career Track. Even though people are potentially working in different time zones, the support is quick and reliable. The curriculum is of high quality and taught by...

I was genuinely pleased with my online experience in Springboard's Software Engineering Career Track. Even though people are potentially working in different time zones, the support is quick and reliable. The curriculum is of high quality and taught by an inspiring instructor who makes difficult concepts easy to understand. The only issue I ran into was communication within project guidelines and "commonly asked questions." By the time I emailed my student advisor to verify my understanding, a month and a half had passed. In other words, if you have questions, ask immediately. I would highly recommend this curriculum to anybody looking for a high quality software engineering bootcamp.

Other courses in Data Science